Triple

T7853614
Position Surface form Disambiguated ID Type / Status
Subject Kilmarnock and Loudoun E182116 entity
Predicate covers P1393 FINISHED
Object Darvel E646156 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Darvel | Statement: [Kilmarnock and Loudoun, covers, Darvel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darvel
Context triple: [Kilmarnock and Loudoun, covers, Darvel]
  • A. Darvel chosen
    Darvel is a small town in East Ayrshire, Scotland, historically known for its lace-making industry and rural setting in the Irvine Valley.
  • B. Darbenai
    Darbenai is a small town in western Lithuania, historically home to a Jewish community from which Zionist leader David Wolffsohn originated.
  • C. Devol
    Devol was a medieval fortress town in the Balkans, historically significant as the site of the Treaty of Devol between the Byzantine Empire and the Norman Kingdom of Sicily.
  • D. Dargwa
    Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • E. Dalane
    Dalane is a traditional district in southwestern Norway known for its rugged coastal landscape, rocky terrain, and small industrial and fishing communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18ed56d481909266d862e0ae152d completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b1e9e808190a0eb2dea5288e743 completed March 31, 2026, 5:26 a.m.
Created at: March 30, 2026, 4:51 p.m.